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A Project Report on Mining Based User Oriented Online Recommendation

Author(s): Rekha Bantu | V. Narmada | S. Aparna | V.Murali Mohan

Journal: International Journal of Computer & Electronics Research
ISSN 2320-9348

Volume: 2;
Issue: 4;
Start page: 526;
Date: 2013;
Original page

Keywords: Data Capture | Query Based Data | Similarity Fusion Score | Correlation | Web Based Application | Search Engine Oriented Retrieval | Classification | Feature Extraction | Data Processing

With the rapid advancement in the technology related to the web based application here main aspect of the service provider related to the query based phenomena is to completely attract the concentration of the user who is accessing the service in which the user are supposed to completely gain the advantage of the service provider in the form of the retrieval performance based strategy respectively. Here the main aim of the present method is to acquire the data of the query and produce the accurate and the related outcome which the user may get the complete satisfaction. Day by day the facility and also the technology updating is got a tremendous change related to the navigation based criteria. Therefore here the main theme of this facility is capture the data of the user and then encrypt the data and then simultaneous process of it then after similarity score fusion is implemented for the accurate retrieval of the data respectively. Here the capturing of the data related to the query based strategy is done by the help of the master oriented web respectively. Where the navigation based phenomena facility is accessed or even controlled by the help of the master oriented UWM phenomena. Here a new method is designed in such a fashion where architecture based on two tier oriented strategy in which capturing the data of the user in the form of the pages based on the recommendations aspect of the visiting profile respectively. Experimental results have show that the proposed method is accurate in terms of the retrieval performance based phenomena respectively.
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